Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.

Learn fundamental components such as MapReduce, HDFS, and YARN

Explore MapReduce in depth, including steps for developing applications with it

Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN

Learn two data formats: Avro for data serialization and Parquet for nested data

Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop

Learn the HBase distributed database and the ZooKeeper distributed configuration service

"Sinopsis" puede pertenecer a otra edición de este libro.

Book Description:

Storage and Analysis at Internet Scale

About the Author:

Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.

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